In this episode, Andrea Molon explores the transformative shift from traditional search to AI-powered generative search systems that understand context, intent, and nuance. Rather than simply returning links to potentially relevant documents, generative search agents can comprehend complex queries, synthesize information from multiple sources, and provide comprehensive, tailored responses that directly address user needs. Andrea discusses how these intelligent search agents are being deployed in enterprise environments to accelerate research, enhance decision-making, and unlock insights from vast data repositories that were previously difficult to access. The conversation covers the technical foundations that make generative search possible, the challenges of ensuring accuracy and preventing AI hallucinations, and the emerging applications that are reshaping how organizations discover and leverage their information assets. This episode reveals how generative search represents not just an evolution in search technology, but a fundamental reimagining of how humans interact with information in the age of AI agents.